在现有的针对突发错误的里德-所罗门(RS)码译码算法基础上,结合突发错误信道模型特点,提出突发错误预判断机制,在提高译码性能的同时,减小了突发错误位置锁定所需的计算量,加入突发错误预判断机制的突发错误RS码译码算法相较原始算法,...在现有的针对突发错误的里德-所罗门(RS)码译码算法基础上,结合突发错误信道模型特点,提出突发错误预判断机制,在提高译码性能的同时,减小了突发错误位置锁定所需的计算量,加入突发错误预判断机制的突发错误RS码译码算法相较原始算法,在误标志率(SER)在10-4时编码增益可达到0.126 8 d B.展开更多
关联规则分析作为数据挖掘的主要手段之一,在发现海量事务数据中隐含的有价值信息方面具有重要的作用。该文针对Apriori算法的固有缺陷,提出了AWP(Apriori With Prejudging)算法。该算法在Apriori算法连接、剪枝的基础上,添加了预判筛...关联规则分析作为数据挖掘的主要手段之一,在发现海量事务数据中隐含的有价值信息方面具有重要的作用。该文针对Apriori算法的固有缺陷,提出了AWP(Apriori With Prejudging)算法。该算法在Apriori算法连接、剪枝的基础上,添加了预判筛选的步骤,使用先验概率对候选频繁k项集集合进行缩减优化,并且引入阻尼因子和补偿因子对预判筛选产生的误差进行修正,简化了挖掘频繁项集的操作过程。实验证明AWP算法能够有效减少扫描数据库的次数,降低算法的运行时间。展开更多
This paper presents an automatic techruque of suitable reference potential selection for quantitative EEG interpretation.The 16-channels EEG recording under mono-polar derivation is analyzed.There are two prejudgments...This paper presents an automatic techruque of suitable reference potential selection for quantitative EEG interpretation.The 16-channels EEG recording under mono-polar derivation is analyzed.There are two prejudgments defined for checking the amplitude distribution and ear lobe activation.After prejudgments,the EEG is classified into several cases in cluding diffused case,non-diffused case,and artifact contami nation case.Due to the cases,an automatic reference selection method is applied in order to find out suitable reference potential.Finally,the referential derivation constructed according to the obtained reference potential,is evaluated for further EEG rhythm analysis.The presented technique can high light the EEG rhythm of interest,which is useful for quantitative EEG interpretation by both visual inspection and automatic evaluation.展开更多
文摘在现有的针对突发错误的里德-所罗门(RS)码译码算法基础上,结合突发错误信道模型特点,提出突发错误预判断机制,在提高译码性能的同时,减小了突发错误位置锁定所需的计算量,加入突发错误预判断机制的突发错误RS码译码算法相较原始算法,在误标志率(SER)在10-4时编码增益可达到0.126 8 d B.
文摘关联规则分析作为数据挖掘的主要手段之一,在发现海量事务数据中隐含的有价值信息方面具有重要的作用。该文针对Apriori算法的固有缺陷,提出了AWP(Apriori With Prejudging)算法。该算法在Apriori算法连接、剪枝的基础上,添加了预判筛选的步骤,使用先验概率对候选频繁k项集集合进行缩减优化,并且引入阻尼因子和补偿因子对预判筛选产生的误差进行修正,简化了挖掘频繁项集的操作过程。实验证明AWP算法能够有效减少扫描数据库的次数,降低算法的运行时间。
基金Grant sponsor:National Natural Science Foundation of China,grant number:61074113grant sponsor:Shanghai Leading Academic Discipline Project,grant number:B504grant sponsor:Fundamental Research Funds for the Central Universities,grant number:WH0914028
文摘This paper presents an automatic techruque of suitable reference potential selection for quantitative EEG interpretation.The 16-channels EEG recording under mono-polar derivation is analyzed.There are two prejudgments defined for checking the amplitude distribution and ear lobe activation.After prejudgments,the EEG is classified into several cases in cluding diffused case,non-diffused case,and artifact contami nation case.Due to the cases,an automatic reference selection method is applied in order to find out suitable reference potential.Finally,the referential derivation constructed according to the obtained reference potential,is evaluated for further EEG rhythm analysis.The presented technique can high light the EEG rhythm of interest,which is useful for quantitative EEG interpretation by both visual inspection and automatic evaluation.
